Ebook: Handbook of Iris Recognition
- Tags: Pattern Recognition
- Series: Advances in Computer Vision and Pattern Recognition
- Year: 2013
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
This authoritative collection introduces the reader to the state of the art in iris recognition technology. Topics and features: with a Foreword by the “father of iris recognition,” Professor John Daugman of Cambridge University; presents work from an international selection of preeminent researchers, reflecting the uses of iris recognition in many different social contexts; provides viewpoints from researchers in government, industry and academia, highlighting how iris recognition is both a thriving industry and an active research area; surveys previous developments in the field, and covers topics ranging from the low-level (e.g., physics of iris image acquisition) to the high level (e.g., alternative non-Daugman approaches to iris matching); introduces many active and open areas of research in iris recognition, including cross-wavelength matching and iris template aging. This book is an essential resource for anyone wishing to improve their understanding of iris recognition technology.
More than 100 trillion iris comparisons are now being performed on a daily basis, a number that is rapidly growing. This is breath-taking progress for a field that is arguably just twenty years old.
The first book of its kind devoted entirely to the subject, the Handbook of Iris Recognition introduces the reader to this exciting, rapidly developing, technology of today and tomorrow. Blending insights from the editors’ own work, and exploiting their broad overview of the field, this authoritative collection introduces the reader to the state of the art in iris recognition technology.
Topics and features:
- With a Foreword by the “father of iris recognition,” Professor John Daugman of Cambridge University
- Presents work from an international selection of preeminent researchers, reflecting the uses of iris recognition in many different social contexts
- Provides viewpoints from researchers in government, industry and academia, highlighting how iris recognition is both a thriving industry and an active research area
- Surveys previous developments in the field, and covers topics ranging from the low-level (e.g., physics of iris image acquisition) to the high level (e.g., alternative non-Daugman approaches to iris matching)
- Introduces many active and open areas of research in iris recognition, including cross-wavelength matching and iris template aging
This comprehensive text/reference is an essential resource for anyone wishing to improve their understanding of iris recognition technology, be they practitioners in industry, managers and executives, or researchers searching for new insights and ideas.
Dr. Mark J. Burge is Senior Principal Scientist at the MITRE Corporation, McLean, VA, USA. Dr. Kevin W. Bowyer is the Schubmehl-Prein Family Professor and Department Chair of Computer Science and Engineering at the University of Notre Dame, IN, USA.
More than 100 trillion iris comparisons are now being performed on a daily basis, a number that is rapidly growing. This is breath-taking progress for a field that is arguably just twenty years old.
The first book of its kind devoted entirely to the subject, the Handbook of Iris Recognition introduces the reader to this exciting, rapidly developing, technology of today and tomorrow. Blending insights from the editors’ own work, and exploiting their broad overview of the field, this authoritative collection introduces the reader to the state of the art in iris recognition technology.
Topics and features:
- With a Foreword by the “father of iris recognition,” Professor John Daugman of Cambridge University
- Presents work from an international selection of preeminent researchers, reflecting the uses of iris recognition in many different social contexts
- Provides viewpoints from researchers in government, industry and academia, highlighting how iris recognition is both a thriving industry and an active research area
- Surveys previous developments in the field, and covers topics ranging from the low-level (e.g., physics of iris image acquisition) to the high level (e.g., alternative non-Daugman approaches to iris matching)
- Introduces many active and open areas of research in iris recognition, including cross-wavelength matching and iris template aging
This comprehensive text/reference is an essential resource for anyone wishing to improve their understanding of iris recognition technology, be they practitioners in industry, managers and executives, or researchers searching for new insights and ideas.
Dr. Mark J. Burge is Senior Principal Scientist at the MITRE Corporation, McLean, VA, USA. Dr. Kevin W. Bowyer is the Schubmehl-Prein Family Professor and Department Chair of Computer Science and Engineering at the University of Notre Dame, IN, USA.
Content:
Front Matter....Pages i-xvi
Introduction to the Handbook of Iris Recognition....Pages 1-14
A Survey of Iris Biometrics Research: 2008–2010....Pages 15-54
Standard Iris Storage Formats....Pages 55-66
Iris Quality Metrics for Adaptive Authentication....Pages 67-84
Quality and Demographic Investigation of ICE 2006....Pages 85-102
Iris Recognition with Taylor Expansion Features....Pages 103-127
A Theoretical Model for Describing Iris Dynamics....Pages 129-150
Iris Recognition in the Visible Wavelength....Pages 151-169
Multispectral Iris Fusion and Cross-Spectrum Matching....Pages 171-181
Robust and Secure Iris Recognition....Pages 183-204
Template Aging in Iris Biometrics....Pages 205-218
Fusion of Face and Iris Biometrics....Pages 219-237
Methods for Iris Segmentation....Pages 239-279
Iris Segmentation for Challenging Periocular Images....Pages 281-308
Periocular Recognition from Low-Quality Iris Images....Pages 309-319
An Introduction to the IrisCode Theory....Pages 321-336
Application of Correlation Filters for Iris Recognition....Pages 337-354
Iris Spoofing: Reverse Engineering the Daugman Feature Encoding Scheme....Pages 355-366
Optics of Iris Imaging Systems....Pages 367-393
Back Matter....Pages 395-407
More than 100 trillion iris comparisons are now being performed on a daily basis, a number that is rapidly growing. This is breath-taking progress for a field that is arguably just twenty years old.
The first book of its kind devoted entirely to the subject, the Handbook of Iris Recognition introduces the reader to this exciting, rapidly developing, technology of today and tomorrow. Blending insights from the editors’ own work, and exploiting their broad overview of the field, this authoritative collection introduces the reader to the state of the art in iris recognition technology.
Topics and features:
- With a Foreword by the “father of iris recognition,” Professor John Daugman of Cambridge University
- Presents work from an international selection of preeminent researchers, reflecting the uses of iris recognition in many different social contexts
- Provides viewpoints from researchers in government, industry and academia, highlighting how iris recognition is both a thriving industry and an active research area
- Surveys previous developments in the field, and covers topics ranging from the low-level (e.g., physics of iris image acquisition) to the high level (e.g., alternative non-Daugman approaches to iris matching)
- Introduces many active and open areas of research in iris recognition, including cross-wavelength matching and iris template aging
This comprehensive text/reference is an essential resource for anyone wishing to improve their understanding of iris recognition technology, be they practitioners in industry, managers and executives, or researchers searching for new insights and ideas.
Dr. Mark J. Burge is Senior Principal Scientist at the MITRE Corporation, McLean, VA, USA. Dr. Kevin W. Bowyer is the Schubmehl-Prein Family Professor and Department Chair of Computer Science and Engineering at the University of Notre Dame, IN, USA.
Content:
Front Matter....Pages i-xvi
Introduction to the Handbook of Iris Recognition....Pages 1-14
A Survey of Iris Biometrics Research: 2008–2010....Pages 15-54
Standard Iris Storage Formats....Pages 55-66
Iris Quality Metrics for Adaptive Authentication....Pages 67-84
Quality and Demographic Investigation of ICE 2006....Pages 85-102
Iris Recognition with Taylor Expansion Features....Pages 103-127
A Theoretical Model for Describing Iris Dynamics....Pages 129-150
Iris Recognition in the Visible Wavelength....Pages 151-169
Multispectral Iris Fusion and Cross-Spectrum Matching....Pages 171-181
Robust and Secure Iris Recognition....Pages 183-204
Template Aging in Iris Biometrics....Pages 205-218
Fusion of Face and Iris Biometrics....Pages 219-237
Methods for Iris Segmentation....Pages 239-279
Iris Segmentation for Challenging Periocular Images....Pages 281-308
Periocular Recognition from Low-Quality Iris Images....Pages 309-319
An Introduction to the IrisCode Theory....Pages 321-336
Application of Correlation Filters for Iris Recognition....Pages 337-354
Iris Spoofing: Reverse Engineering the Daugman Feature Encoding Scheme....Pages 355-366
Optics of Iris Imaging Systems....Pages 367-393
Back Matter....Pages 395-407
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